Agil und Scrum
Agiler Test - Test-Driven Development (TDD)
Python für die Testautomatisierung mit KI-gestütztem Lernen (Englisch)
This 3-day intensive course is designed for testers and QA engineers who want to leverage Python for test automation. Using AI-assisted learning techniques throughout, participants will learn Python fundamentals, explore standard and third-party libraries, and dive into test automation frameworks. The course focuses on practical, hands-on experience to build ePective test automation skills.
Throughout this course, AI-assisted learning techniques will be used to enhance the learning experience, provide real-time coding assistance, and help generate test cases. By the end of the course, participants will have a solid foundation in Python for test automation, hands-on experience with key libraries and frameworks, and the skills to develop ePicient, maintainable test suites.
QA engineers and testers looking to automate their testing processes, Software developers interested in improving their testing skills, IT professionals wanting to transition into test automation roles
Basic understanding of programming concepts
Familiarity with software testing principles
No prior Python experience required, but helpful
Day 1: Python Language
Module 1: Introduction to Python
- Why Python?
- History and Python releases
- Python implementations
- Python 2 vs Python 3
- Coding style guidelines (PEP 8)
- Python package management and virtual environments
Module 2: Python Fundamentals
- Keywords and operators
- Basic data types and data structures
- Control structures
- Exceptions
- Built-in functions
Module 3: Advanced Python Concepts
- Functions, classes, modules, and packages
- Lambda functions
- List comprehensions
- Generators
- Decorators
- Data classes
Day 2: Python 3 Standard Library
Module 4: Core Standard Library Features
- Runtime features
- Application building blocks
- File system operations
- Text processing and regular expressions
Module 5: Data Handling and Analysis
- Dates and times
- Data persistence and exchange
- Data compression and archiving
- Cryptography
- Mathematics and data analysis
Module 6: Advanced Standard Library Topics
- Concurrency with processes
- Networking and Internet/Web services
- GUI frameworks (brief overview)
Day 3: Python Test Frameworks
Module 7: Basic Testing Concepts
- Source code verification
- Unit testing with pytest
- Property-based testing with hypothesis
Module 8: Advanced Testing Techniques
- Mutation testing
- Behaviour-driven testing with behave
- Keyword and data-driven testing with Robot Framework
Module 9: Practical Application - Crafting Your Own Test Automation Tool
- In this final module, you will apply the knowledge and skills acquired throughout the course to develop a practical test automation tool of your choice. This hands-on project integrates Python programming, testing frameworks, and AI-assisted development.
- Choose a project that excites you, adds value to your testing workflow, or addresses a specific challenge in your work environment.
Example Project Ideas:
- AI-Enhanced Test Case Generator
- Automated API Testing for Web Applications
- Behaviour-Driven Development (BDD) Test Automation Framework
Präsenz-Training
Onsite-Training
In maßgeschneiderten Workshops kombinieren wir Ihre konkreten Projektaufgaben mit unserem Trainingsangebot. Dabei berücksichtigen wir Ihre Anforderungen bezüglich Inhalt, Zeit, Ort, Dauer, technischem Umfeld und Vermittlungsmethodik.
Für Ihre Anfrage oder weiterführende Informationen stehen wir Ihnen gern zur Verfügung.
Präsenz-Training - Englisch
Coaching
Python für die Testautomatisierung mit KI-gestütztem Lernen (Englisch)
Inhalt
Day 1: Python Language
Module 1: Introduction to Python
- Why Python?
- History and Python releases
- Python implementations
- Python 2 vs Python 3
- Coding style guidelines (PEP 8)
- Python package management and virtual environments
Module 2: Python Fundamentals
- Keywords and operators
- Basic data types and data structures
- Control structures
- Exceptions
- Built-in functions
Module 3: Advanced Python Concepts
- Functions, classes, modules, and packages
- Lambda functions
- List comprehensions
- Generators
- Decorators
- Data classes
Day 2: Python 3 Standard Library
Module 4: Core Standard Library Features
- Runtime features
- Application building blocks
- File system operations
- Text processing and regular expressions
Module 5: Data Handling and Analysis
- Dates and times
- Data persistence and exchange
- Data compression and archiving
- Cryptography
- Mathematics and data analysis
Module 6: Advanced Standard Library Topics
- Concurrency with processes
- Networking and Internet/Web services
- GUI frameworks (brief overview)
Day 3: Python Test Frameworks
Module 7: Basic Testing Concepts
- Source code verification
- Unit testing with pytest
- Property-based testing with hypothesis
Module 8: Advanced Testing Techniques
- Mutation testing
- Behaviour-driven testing with behave
- Keyword and data-driven testing with Robot Framework
Module 9: Practical Application - Crafting Your Own Test Automation Tool
- In this final module, you will apply the knowledge and skills acquired throughout the course to develop a practical test automation tool of your choice. This hands-on project integrates Python programming, testing frameworks, and AI-assisted development.
- Choose a project that excites you, adds value to your testing workflow, or addresses a specific challenge in your work environment.
Example Project Ideas:
- AI-Enhanced Test Case Generator
- Automated API Testing for Web Applications
- Behaviour-Driven Development (BDD) Test Automation Framework